Applies SoftMax over features to each spatial location.
When given an image of
Channels x Height x Width, it will apply Softmax to each location
Output: (same shape as input)
a Tensor of the same dimension and shape as the input with values in the range [0, 1]
>>> m = nn.Softmax2d() >>> # you softmax over the 2nd dimension >>> input = torch.randn(2, 3, 12, 13) >>> output = m(input)